航空科学技术2024，Vol.35Issue(7)：32-39,8.DOI:10.19452/j.issn1007-5453.2024.07.003
基于二重故障区间定位和随机森林算法的锂电池组突发性故障诊断
Sudden Fault Diagnosis of Lithium Battery Pack Based on Double Fault Interval Location and Random Forest Algorithm
摘要
Abstract
Sudden faults of lithium batteries often cause great harm in a short period of time,restricting their further development.Therefore,this paper investigates sudden faults and proposes a complete framework for diagnosing sudden faults in lithium battery packs.First,the voltage data sequence is decomposed using empirical modal decomposition,and the subsequence is constructed into a new data sequence and imported into the binary fault interval localization model,and the correlation coefficient of dichotomous ideas and the correlation coefficient based on the time window are used to diagnose the fault interval of the sudden fault.Then,the fault features are extracted using kernel principal component analysis.Finally,the faults are trained and classified using the random forest algorithm and compared with the remaining methods.In addition,a fault injection platform is established to physically trigger external short circuit faults and contact faults on a series-connected four-cell battery pack.The experimental results show that the method is accurate and reliable for the diagnosis of sudden faults.关键词
锂电池/突发性故障诊断/二重故障区间定位/数据提取/随机森林算法Key words
lithium battery/sudden fault diagnosis/double fault interval location/data extraction/random forest algorithm分类
信息技术与安全科学引用本文复制引用
申晓伟,伦淑娴,任冬..基于二重故障区间定位和随机森林算法的锂电池组突发性故障诊断[J].航空科学技术,2024,35(7):32-39,8.基金项目
国家自然科学基金(61773074) （61773074）
辽宁省教育厅重点攻关项目(LJKZZ20220118) National Natural Science Foundation of China(61773074) （LJKZZ20220118）
Key Project of Education Department of Liaoning(LJKZZ20220118) （LJKZZ20220118）
